Intel Corporation

Ciyong Chen

Kun Yu

Yan Hao

Zhi Yong Zhu

Lu Li

Hui Li

Xiaotian Guo

Jianguo Pei

Systems, apparatuses and methods () may provide for technology that stores data associated with a plurality of intermediate operations in an autonomous vehicle process (), generates a visualization output based at least partly on the data (), and changes a magnification level of the visualization output based on user input (), the visualization output is generated further based on parameter input and the data includes vector chart data.

Using vector chart data with display lifecycles to visualize autonomous vehicle processess

An example apparatus for detecting objects in video frames includes a receiver to receive a plurality of video frames from a video camera. The apparatus also includes a first still image object detector to receive a first frame of the plurality of video frames and calculate localization information and confidence information for each potential object patch in the first frame. The apparatus further includes a second still image object detector to receive an adjacent frame of the plurality of video frames adjacent to the first frame and calculate localization information and confidence information for each potential object patch in the adjacent frame. The apparatus includes a similarity detector trained to detect paired patches between the first frame and the adjacent frame based on a comparison of the detected potential object patches. The apparatus further includes an enhancer to modify a prediction result for a paired patch in the adjacent frame to a prediction result of a corresponding paired patch in the first frame including a higher confidence score than the prediction result of the paired patch in the adjacent frame.

Detecting objects in video frames using similarity detectors

Techniques related to training and implementing a bidirectional pairing architecture for object detection are discussed. Such techniques include generating a first enhanced feature map for each frame of a video sequence by processing the frames in a first direction, generating a second enhanced feature map for frame by processing the frames in a second direction opposite the first, and determining object detection information for each frame using the first and second enhanced feature map for the frame.

Bidirectional pairing architecture for object detection in video

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Shanghai, China

Ciyong Chen